دورية أكاديمية
Development of a cyclic ion mobility spectrometry-mass spectrometry-based collision cross-section database of permethylated human milk oligosaccharides.
| العنوان: | Development of a cyclic ion mobility spectrometry-mass spectrometry-based collision cross-section database of permethylated human milk oligosaccharides. |
|---|---|
| المؤلفون: | Habibi SC; Department of Chemistry, University of Utah, 315 South 1400 East, Room 2020, Salt Lake City, Utah, 84112, USA., Bradford VR; Department of Chemistry, University of Utah, 315 South 1400 East, Room 2020, Salt Lake City, Utah, 84112, USA., Baird SC; Department of Chemistry, University of Utah, 315 South 1400 East, Room 2020, Salt Lake City, Utah, 84112, USA., Lucas SW; Department of Chemistry, Clemson University, Clemson, South Carolina, 29625, USA., Chouinard CD; Department of Chemistry, Clemson University, Clemson, South Carolina, 29625, USA., Nagy G; Department of Chemistry, University of Utah, 315 South 1400 East, Room 2020, Salt Lake City, Utah, 84112, USA. |
| المصدر: | Journal of mass spectrometry : JMS [J Mass Spectrom] 2024 Aug; Vol. 59 (8), pp. e5076. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley Country of Publication: England NLM ID: 9504818 Publication Model: Print Cited Medium: Internet ISSN: 1096-9888 (Electronic) Linking ISSN: 10765174 NLM ISO Abbreviation: J Mass Spectrom Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Chichester, UK : Wiley, c1995- |
| مواضيع طبية MeSH: | Milk, Human*/chemistry , Ion Mobility Spectrometry*/methods , Oligosaccharides*/analysis , Oligosaccharides*/chemistry, Humans ; Methylation ; Isomerism ; Tandem Mass Spectrometry/methods ; Mass Spectrometry/methods ; Databases, Factual |
| مستخلص: | Human milk oligosaccharides (HMOs) are an important class of biomolecules responsible for the healthy development of the brain-gut axis of infants. Unfortunately, their accurate characterization is largely precluded due to a variety of reasons - there are over 200 possible HMO structures whereas only 10s of these are available as authentic analytical standards. Furthermore, their isomeric heterogeneity stemming from their many possible glycosidic linkage positions and corresponding α/β anomericities further complicates their analyses. While liquid chromatography coupled to tandem mass spectrometry remains the gold standard for HMO analyses, it often times cannot resolve all possible isomeric species and thus warrants the development of other orthogonal approaches. High-resolution ion mobility spectrometry coupled to mass spectrometry has emerged as a rapid alternative to condensed-phase separations but largely has remained limited to qualitative information related to the resolution of isomers. In this work, we have assessed the use of permethylation to improve both the resolution and sensitivity of HMO analyses with cyclic ion mobility separations coupled with mass spectrometry. In addition to this, we have developed the first-ever high-resolution collision cross-section database for permethylated HMOs using our previously established calibration protocol. We envision that this internal reference database generated from high-resolution cyclic ion mobility spectrometry-mass spectrometry will greatly aid in the accurate characterization of HMOs and provide a valuable, orthogonal, approach to existing liquid chromatography-tandem mass spectrometry-based methods. (© 2024 The Author(s). Journal of Mass Spectrometry published by John Wiley & Sons Ltd.) |
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| معلومات مُعتمدة: | R35 GM146671 United States GM NIGMS NIH HHS; 1R35GM146671-01 United States GM NIGMS NIH HHS |
| فهرسة مساهمة: | Keywords: collision cross‐section; human milk oligosaccharides; ion mobility spectrometry; mass spectrometry; separation science |
| المشرفين على المادة: | 0 (Oligosaccharides) |
| تواريخ الأحداث: | Date Created: 20240723 Date Completed: 20240723 Latest Revision: 20240802 |
| رمز التحديث: | 20240802 |
| مُعرف محوري في PubMed: | PMC11283840 |
| DOI: | 10.1002/jms.5076 |
| PMID: | 39041358 |
| قاعدة البيانات: | MEDLINE |
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